Symptom Clusters in Adults with Post-COVID-19: A Cross-Sectional Survey

Janet L. Larson, Weijiao Zhou, Philip T. Veliz and Sheree Smith

Clinical Nursing Research, 2023, vol. 32, issue 8, 1071-1080

Abstract: More than 100 symptoms have been reported for post-coronavirus disease 2019 (COVID-19) and this study aimed to organize self-reported symptoms by identifying symptom clusters. We used a cross-sectional survey with a convenience sample of 491 adults who reported experiencing prolonged symptoms of COVID. A list of 25 symptoms of post-COVID-19 was used to measure the symptoms, and exploratory factor analysis was undertaken to identify symptom clusters for people with symptoms lasting 5 to 8 weeks and 9 weeks or longer. Six symptom clusters were identified for each of the two groups, and five clusters were similar across both groups: respiratory, general viral, smell/taste, cognitive cardiac, and mental health. The >9-week group reported symptoms primarily from two factors: respiratory-muscular and mental health. Post-COVID-19 symptom clusters differ across timeframes. Symptom clusters were useful in establishing coherent patterns of multiple complex symptoms.

Keywords: COVID-19; symptom cluster; post-COVID condition; long COVID (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:sae:clnure:v:32:y:2023:i:8:p:1071-1080

DOI: 10.1177/10547738231191655

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